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Academic literature on the topic 'Scientometric database'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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Journal articles on the topic "Scientometric database"

Csomós, György. "On the challenges ahead of spatial scientometrics focusing on the city level." Aslib Journal of Information Management 72, no. 1 (November 20, 2019): 67–87. http://dx.doi.org/10.1108/ajim-06-2019-0152.

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Purpose Spatial bibliometrics and scientometrics have traditionally focused on examining both country and regional levels; however, in recent years, numerous spatial analyses on the city level have been carried out. While city-level scientometric analyses have gained popularity among policymakers and statistical/economic research organizations, researchers in the field of bibliometrics are divided regarding whether it is possible to observe the spatial unit “city” through bibliometric and scientometric tools. The purpose of this paper is to reveal the most significant challenges ahead of spatial scientometrics focusing on the city level by examining relevant scientometric studies. Design/methodology/approach This analysis involves the most significant spatial scientometric studies focusing on the city level and carefully examines how they collect bibliometric and/or scientometric data, what methodologies they employ to process bibliometric data and most importantly, how they approach the spatial unit “city”. Findings After systematically scrutinizing relevant studies in the field, three major problems have been identified: there is no standardized method of how cities should be defined and how metropolitan areas should be delineated; there is no standardized method of how bibliometric and scientometric data on the city level should be collected and processed; and it is not clearly defined how cities can profit from the results of bibliometric and scientometric analysis focusing on them. Originality/value This is the first study that compiles a “database” of scientometric studies focusing on the city level. The paper not only reveals major challenges ahead of city level spatial analysis but recommends some possible solution as well.

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Perron, Brian E., Bryan G. Victor, David R. Hodge, Christopher P. Salas-Wright, Michael G. Vaughn, and Robert Joseph Taylor. "Laying the Foundations for Scientometric Research." Research on Social Work Practice 27, no. 7 (January 12, 2016): 802–12. http://dx.doi.org/10.1177/1049731515624966.

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Objective: Scientometric studies of social work have stagnated due to problems with the organization and structure of the disciplinary literature. This study utilized data science to produce a set of research tools to overcome these methodological challenges. Method: We constructed a comprehensive list of social work journals for a 25-year time period and searched for all available article records using 35 different databases. Customized software was developed to restructure article records into a single analyzable database. We then computed the annual journal growth from the database. Results: A population of 90 disciplinary journals was established, and 33,330 article records were retrieved from 80 of these journals. Rapid and consistent growth in the number of social work journals was observed, particularly from 1997 up to 2005. Conclusions: The population list of social work journals, database of article records, and customized software builds the foundation for future scientometric studies in social work.

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Babkin, A. V., and N. S. Alekseeva. "Trends in the development of the digital economy based on a study of scientometric databases." Economics and Management, no. 6 (August 28, 2019): 16–25. http://dx.doi.org/10.35854/1998-1627-2019-6-16-25.

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The digital economy is currently making a great contribution to the development of the global economy and economies of different countries, being one of the priority development areas. The problem of identifying trends in the development of the digital economy that will determine global trends in the future remains relevant. In this regard, the authors attempt to identify trends in the development of the digital economy based on scientometric databases.Aim. The presented study aims to determine the place and role of the digital economy in the current global transformation processes and trends in its development as part of a study of scientometric databases.Tasks. The authors present the hierarchy of directions for the development of the digital economy in Russia and its systemic decomposition, identify changes in scientometric indicators in the field of the digital economy through the analysis of the Scopus abstract and citation database and the Russian Science Citation Index (RSCI) database, and describe changes in the scientometric indicators and publication activity in the field of digital economy.Methods. This study uses the international Scopus database, the RSCI database, correlation and regression analysis, and mathematical statistics methods.Results. It is established that interest in the digital economy grows every year. The authors present a hierarchy of directions for the development of the digital economy in Russia and a systemic decomposition (model) of the digital economy. It is noted that most publications on digital economy focus on the application of digital technologies. Analysis of scientometric databases for 2010–2018 reflects trends in the development of the digital economy.Conclusions. The conducted study shows trends in the development of the digital economy in Russia and identifies priority directions for the development of the national economy as a whole, which specifies the direction for future research.

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Kharat, Pooja Prakash, and Siddqui Eraj. "Scientometric Profile on Chikungunya in Medline Database." International Journal of Research in Library Science 7, no. 3 (July 16, 2021): 20. http://dx.doi.org/10.26761/ijrls.7.3.2021.1419.

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Запольская, Анна, Anna Zapolskaya, Сергей Шептунов, Sergey Sheptunov, Иван Воробьев, and Ivan Vorobev. "Storage of primary and secondary scientific information: classification and access." Bulletin of Bryansk state technical university 2015, no. 3 (September 30, 2015): 168–74. http://dx.doi.org/10.12737/23022.

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Annotation: The article analyzes the main tools for collecting, processing and analyzing the information necessary for the preparation of research papers, research papers and articles in science journalism. The authors classified the database storing primary and secondary scientific information, describes how to access these international information systems. Among them are allocated the largest and most influential scientometric and bibliographic databases, such as the Web of Science and its components, the system Scopus, Google Scholar, the domestic development of scientometric eLIBRARY, and a number of narrow-profile international databases dedicated to the search of scientific information.

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Семеріков, Сергій, Владислав Потоцький, Катерина Словак, Світлана Грищенко, and Арнольд Ків. "Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index." Педагогіка вищої та середньої школи 51 (December 13, 2018): 276–89. http://dx.doi.org/10.31812/pedag.v51i0.3675.

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Semerikov S.O. Pototskyi V.S., Slovak K.I., Hryshchenko S.M. and Kiv A.E. Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. It is shown that the calculation of scientometric indicators of the scientist and also the scientific journal continues to be an actual problem nowadays. It is revealed that the leading scientometric databases have the capabilities of automated metadata collection from the scientific journal website by the use of specialized electronic document management systems, in particular Open Journal Systems. It is established that Open Journal Systems successfully exports metadata about an article from scientific journals to scientometric databases Scopus, Web of Science and Google Scholar. However, there is no standard method of export from Open Journal Systems to such scientometric databases as the Russian Science Citation Index and Index Copernicus, which determined the need for research. The aim of the study is to develop the plug-in to the Open Journal Systems for the export of data from this system to scientometric database Russian Science Citation Index. As a result of the study, an infological model for exporting metadata from Open Journal Systems to the Russian Science Citation Index was proposed. The SirenExpo plug-in was developed to export data from Open Journal Systems to the Russian Science Citation Index by the use of the Articulusrelease preparation system.

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Frolova, V. A., Zh A. Karabaev, S. K. Khasenova, T. Sh Kubieva, T. M. Myrzakhmetov, E. A. Lazareva, and I. A. Semiletova. "The scientometric analysis of the “Abstract Journal” database." Scientific and Technical Information Processing 35, no. 3 (June 2008): 143–52. http://dx.doi.org/10.3103/s0147688208030064.

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Pandurang, Bhagat Meenakshi, Vaishali Khaparde, and Fawaz Abdullah Alhamdi. "Naturopathy Output: A Scientometric Study in Scopus Database." Pearl : A Journal of Library and Information Science 13, no. 3 (2019): 245. http://dx.doi.org/10.5958/0975-6922.2019.00031.7.

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Barsan, Ionela Maria. "Literature review using scientometric methods in the field of copyright." Revista Română de Biblioteconomie și Știința Informării = Romanian Journal of Library and Information Science 17, no. 2 (December 8, 2021): 43–51. http://dx.doi.org/10.26660/rrbsi.2021.17.2.43.

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The literature review is the most important step in achieving scientific research. The large amount of information can be analyzed using scientometric methods. It was downloaded a database of scientific production published in the last five years in the Clarivate Analitycs database — Web of Science - in the field of copyright. The downloaded database is analysed with VOS Viewer, scientometric analysis software. The subject analysed is used in many areas of research, as well as pure copyright, but also associated with the fields of medicine, nanoelectronics, genetics. The method used can be multiplied for any topic or domain.

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Mukhametshin, R. R., and G. Sh Asylgaraeva. "Comparative analysis of scientometrics indicators of “Povolzhskaya аrkheologiya” journal." Scientific and Technical Libraries, no. 4 (June 28, 2021): 73–92. http://dx.doi.org/10.33186/1027-3689-2021-4-73-92.

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The authors discuss the results of analyzing scientometric indicators of “Povolzhskaya аrkheologiya” journal acquired to the Web of Sciences, Scopus and RSCI (Russian Science Citation Index) databases. To specify the journal position within the archeological periodicals and its possible inclusion into the Web of Science database, the study findings were compared to the analyses results for the Russian authoritative academic journals in the related domains. The rating for selected journals by Scopus and RSCI key scientometrics indicators is built. The journal position in these ratings is discussed. Within the Web of Science system, the indicator of the journal “latent citation” is obtained. The journal dynamics within the databases under examination is demonstrated. The articles published in 2015–2019 are analyzed for their territorial affiliation. Based on the analysis results, the authors determine the journal position in the national and global context and suggest that “Povolzhskaya аrkheologiya” journal has got high starting position if included into the Web of Science.

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Dissertations / Theses on the topic "Scientometric database"

Igami, Mery Piedad Zamudio. "Elaboração de indicadores de produção cientifica com base na análise cientométrica das dissertações e teses do IPEN." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/85/85134/tde-15092011-150503/.

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A importância da elaboração de indicadores está amplamente difundida na sociedade atual. Observa-se seu uso rotineiro nos mais diversos segmentos da sociedade. Na área científica essa prática também já está consolidada, corrobora esta afirmação o número de trabalhos registrados nas principais bases de dados; prevalecem, no entanto, os estudos quantitativos, os quais fazem uso de dados obtidos a partir de bases de dados internacionais. Diante dessa constatação o objetivo deste trabalho foi obter indicadores científicos a partir da análise das dissertações e teses produzidas por um programa de pós-graduação no período de 1977 até 2009. Foram obtidos três tipos de indicadores bidimensionais, numéricos temáticos e de produtividade, para tanto foram utilizadas técnicas de bibliometria avançada. As dissertações e teses foram categorizadas tematicamente utilizando a Subject Categories and Scope Descriptions e o Tesauro do International Nuclear Information System (INIS). Por meio da técnica de análise de clusters e de trajetória, as dissertações e teses foram agrupadas em cinco grupos temáticos demonstrando o comportamento passado e a tendência de crescimento de cada grupo. Para a extração dos dados sobre a produtividade das teses, em nível de artigos, foi utilizado o Currículo Lattes e a base local do IPEN. Especificamente para se identificarem os níveis de correlação entre os artigos e as teses, foi utilizada a técnica de coocorrência de palavras (co-word analysis) e no caso foram utilizadas as palavras-chave de ambos os itens de literatura. Os autores das teses foram consultados, por meio de um questionário, para validação dos dados. Obtiveram-se indicativos de que 55,9% dos artigos produzidos em um período de cinco anos antes e cinco anos depois da defesa da tese têm forte correlação com esta. Foi observado também que os artigos correlacionados têm sido publicados, em média, 1,63 (ano) antes da apresentação da tese. Foi demonstrado, que as bases de dados, quando bem estruturadas, são instrumentos multifuncionais com grande potencial para o uso em estudos dessa natureza. Observou-se que a qualidade dos indicadores está fortemente associada à qualidade dos dados obtidos das bases de dados.
Construction of Indicators plays an important role in the contemporaneous society. It could be observed their ordinary use by all the activities segments. In scientific area it is not different; such practice has already been consolidated; this statement could be corroborated by the innumerous papers published about this matter in the main databases; however, there is a prevalence of quantitative studies, which obtain data from the international databases, analyzing journal articles. Concerning this finding, the main objective of this study was to elaborate scientific indicators from a local institutional data base, using as a corpus of the study the dissertations and theses, produced by a graduate program in the period of 1977 to 2009.Three types of two-dimensional indicators were obtained by using bibliometric techniques: numerical, thematic and productivity. For dissertations and theses thematic characterization it was used the Subject categories and scope descriptions and the International Nuclear Information System Thesaurus (INIS). Through the statistical technique of clustering analysis, it was possible to classify them in five main groups, showing former performance and growth future trends of each group; for data extraction about theses productivity, regarding articles published; the Curriculo Lattes, and the local institutional database were used. Co-word analysis technique was used to establish a more precise correlation, between articles and theses, and for this purpose it was used the keywords from a controlled vocabulary. In order to validate the results, it was performed a survey, with the theses authors. Results obtained indicated that 55.9% of the articles published, between 5 years, before and after the thesis presentation, are strongly correlated to it. It was also observed that, correlated articles have been published, in an average of, 1, 63 year before the thesis presentation. Concerning databases, it was shown that they are valuable tools and could be used with multifunctional purposes, with a great potential to be used in bibliometric studies. It was also observed that the indicators reliability is strongly associated to the quality of data obtained from the databases.

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Костирко, Т. М., М. С. Жигалкіна, T. M. Kostyrko, and M. S. Zhyhalkina. "Бібліометрична оцінка досліджень з напрямку наноструктурування промислових металів і сплавів, напилених покриттів у БД Scopus." Thesis, 2020. http://eir.nuos.edu.ua/xmlui/handle/123456789/4782.

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Костирко, Т. М. Бібліометрична оцінка досліджень з напрямку наноструктурування промислових металів і сплавів, напилених покриттів у БД Scopus = Bibliometric evaluation of research in the field of nanostructuring of industrial metals and alloys, sprayed coatings in the database Scopus / Т. М. Костирко, М. С. Жигалкіна // Матеріали ХІ міжнар. наук.-техн. конф. "Інновації в суднобудуванні та океанотехніці". В 2 ч. – Миколаїв : НУК, 2020. – Ч. 2. – С. 263–269.
Анотація. У статті представлені результати бібліометричного дослідження, спрямованого на удосконалення обладнання та підвищення властивостей покриттів та розвиток напрямку «Наноструктурування промислових металів і сплавів, напилених покриттів» на основі продуктів і сервісів наукометричної БД Scopus. Отримані результати можна використовувати для подальших наукових досліджень з даної та суміжних тем, а також застосовувати в процесі викладання матеріалознавчих дисциплін та технології напилення покриттів.
Abstract. The article presents the results of bibliometric research aimed at improving the equipment and improving the properties of coatings and the development of "Nanostructuring of industrial metals and alloys, sprayed coatings" based on products and services of scientometric database Scopus. The obtained results can be used for further research on this and related topics, as well as used in the teaching of materials science and coating technology.

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Boell, Sebastian K. "A Scientometric Method to Analyze Scientific Journals as Exemplified by the Area of Information Science." Thesis, 2007. http://hdl.handle.net/10150/106162.

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==Background== In most academic disciplines journals play an important role in disseminating findings of research among the disciplinary community members. Understanding a discipline's body of journals is therefore of grave importance when looking for previous research, compiling an overview of previous research and and in order to make a decision regarding the best place for publishing research results. Furthermore, based on Bradford's Law of scattering, one can assume that in order to be able to compile a satisfying overview of previous research a wide range of journals has to be scanned, but also that there are some 'core' journals which are of more importance to specific disciplines than others. ==Aim== This thesis aims to compile a comprehensive master list of journals which publish articles of relevance to Library and Information Science (LIS). A method to rank journals by their importance is introduced and some key characteristics of the disciplines body of journals are discussed. Databases indexing the disciplines journals are also compared. ==Method== The master list of LIS journals was created by combining the journal listings of secondary sources indexing the field's literature. These sources were six databases focusing on LIS literature: INFODATA, Current Contents, Library and Information Science Abstracts, Library Information Science Technology Abstracts, Information Science and Technology Abstracts, and Library Literature and Information Science, the LIS subsection in three databases with a general focus: Social Science Citation Index, Academic Search Premier, and Expanded Academic ASAP, and the listing of LIS journals from the Elektronische Zeitschriften Bibliothek. Problems related to editorial policies and technical shortcomings are discussed, before comparing: predominant publication languages, places of publication, open access, peer review, and the ISI Journal Impact Factors (JIF). Journals were also ranked by the number of occurrences in multiple databases in order to identify 'core' publications. The number of journals overlapping between databases are estimated and a matrix giving the overlap is visualized using multi dimensional scaling. Lastly, the degree of journals overlapping with other disciplines is measured. ==Results== A comprehensive master list of 1,205 journals publishing articles of relevance to LIS was compiled. The 968 active journals are mostly published in English, with one third of the journals coming from the US and another third from the UK and Germany. Nearly 16% of all journals are open access, 11% have a ISIJIF, and 42% are peer reviewed. Fifteen core journal could be identified and a list of the top fourteen journals published in Germany is introduced. Databases have between five to 318 journals in common and the journal collection shows an substantial overlap with a wide range of subjects, with the biggest journal overlap with Computing Studies, and Business and Economics. ==Conclusion== The aim of compiling a comprehensive list of LIS journal was achieved. The list will contribute to our understanding of scholarly communication within the LIS discipline and provide academics and practitioners with a better understanding of journals within the discipline. The ranking approach proved to be sufficient, showing good similarity with other studies over the last 40 years. The master list of LIS journals has also potential use to further research.

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Christelová, Alžběta. "Hodnocení vědy a výzkumu na Ústavu vědeckých informací 1. lékařské fakulty Univerzity Karlovy v Praze." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-297570.

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The thesis focuses on the evaluation of Research and Development in the Czech Republic. The introductory part of thesis highlights the recency of the topic and describes the quantitative and qualitative methods of assessing outlets of science. The second part of the thesis discusses in detail the evaluation of science in the Czech Republic; the legislative framework and the evaluation of Research and Development are mentioned. The third chapter shows the evaluation of institutional Research and Development and uses the 1st Faculty of Medicine of Charles University in Prague as an example. The core of the thesis is the fourth chapter with an analysis of selected primary scientometric data. The final part summarizes the entire topic and highlights some problem areas [Author's abstract].

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Buryan, Anna Maria. "Moderní bibliometrické indikátory společností Thomson Reuters a Elsevier." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-368087.

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This thesis concerns the issues of bibliometrics and scientometrics. The first part is dedicated to the science of information measurement, selected citation databases and bibliometric indicators. The practical part is dedicated to the measurement and quantitative analysis of the documents of the Institute of Organic Chemistry and Biochemistry AS CR in the citation databases of Web of Science and Scopus.

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Book chapters on the topic "Scientometric database"

Kumari, Priti, and Rajeev Kumar. "Scientometrics and Publications: A Comparative Study of Ranking of Multi-source Databases." In Lecture Notes in Electrical Engineering, 775–80. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3690-5_71.

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Vijayakumar, M., S. Lawyed Stephen, and A. Lawrence Mary. "A Scientometric Profile of Vikram Sarabhai Space Center (VSSC) Based on Scopus Database." In Advances in Standardization Research, 180–98. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3457-0.ch012.

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This chapter creates the scientometric profile of Vikram Sarabhai Space Centre (VSSC) for the period from 1973 to 2016. The scientific productivity of the scientists is analyzed using scientometric indicators based on the data retrieved from the Scopus database. The analysis revealed that linear growth is prevailing. It also shows that the scientists are actively involved in disseminating their research findings in scholarly journals and G.V. Rao secured first position among the top-ranking authors. The Indian Institute of Science is the leading collaborating institution with VSSC and the United States is topmost collaborating country. Most of the scholarly communications of VSSC are published in the ‘Journal of Sound & Vibration' and a majority of the records are of an article type. Most of the articles are published in the inter-disciplinary subject of Engineering. The study also found that the total number of citations received by the documents published from VSSC are 17395 and out of the 1783 documents published and 1385 documents received citations.

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Natarajan, Radhakrishnan. "Research Contributions on Nephrology During 2010–2015." In Advances in Standardization Research, 199–212. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3457-0.ch013.

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Nephrology is the adult and pediatric study of the kidneys and associated diseases. This chapter deals with the research productivity on Nephrology. Since the study is based on scientometric approach, the data has been retrieved from Web of Science database. The objectives of the study are: to identify the growth rate of research productivity, to trace the types of documents in Nephrology, to know the authorship pattern and language wise classification, and to find out the institution and geographical area wise distributions. Software packages such as Histcite and VOSviewer have effectively been used to analyze the data. In addition, various scientometric tools were also applied. As far as the contribution is concerned, the USA leads other parts of the world in Nephrology. English language dominates the globe in terms of publications.

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Tykhonkova, I. O. "WEB OF SCIENCE JOURNAL EVALUATION PROCESS: EVOLUTION OF CRITERIA." In Science Ukraine in the Global Information Space. Issue 17, 14–31. PH “Akademperiodyka”, 2020. http://dx.doi.org/10.15407/akademperiodyka.422.014.

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The Web of Science Core Collection is a highly selective, abstract-indexed scientometric database, which currently includes more than 21 thousand scientific journals of all specialties published in 110 countries. The database contains three specialized indexes: Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Art and Humanities Citation Index (AHCI) and a multidisciplinary Emerging Source Citation Index (ESCI). Today there are 15 Ukrainian journals included in the SCIE and 68 in the ESCI. Unfortunately, since 2015, no Ukrainian journals have moved from ESCI to specialized indexes; moreover, several Ukrainian journals were excluded for publishing ethics violations. In 2019, the criteria of journal evaluation were updated/clarified. Today there are 28 criteria; 24 of them (quality criteria) are a prerequisite for inclusion into the ESCI. Journals applying to specialized indexes are evaluated according to four additional criteria of influence. The evaluation is carried out by the Clarivate Editorial Board consisting of company employees, who, in addition to professional skills, do not have any conflicts of interest. To initiate the journal evaluation process, the publisher fills out an online form and continues to publish the journal in a timely manner. Evaluation and subsequent indexing of the journal in the Web of Science Core Collection is a free procedure and the criteria are presented in the article.

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Yazvynska, M. V. "CHRONOLOGY AND STATISTICS OF THE PERIODICALS OF THE NAS OF UKRAINE INCLUDED IN THE LIST OF SCIENTIFIC PROFESSIONAL PUBLICATIONS AND SOME DATABASES." In Science Ukraine in the Global Information Space. Issue 17, 59–64. PH “Akademperiodyka”, 2020. http://dx.doi.org/10.15407/akademperiodyka.422.059.

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The article presents the chronology and statistics of the periodicals of the National Academy of Sciences of Ukraine and its institutions in the list of scientific professional publications of Ukraine and world scientometric and abstract databases. It is shown that the need to be included in the list as a basis for objective assessment, classification and monitoring of scientific professional publications stimulated the editions of NAS of Ukraine to improve the main indicators of the publication: to supplement the information on the site, update various abstract and scientometric databases.

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Hariharan, S., V. S. Prasanth, and P. Saravanan. "Role of Bibliographical Databases in Measuring Information." In Advances in Standardization Research, 61–71. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3457-0.ch005.

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The quantum of information being produced has made the information scientists to devise various ways and means to effectively organize and disseminate them when needed. Bibliographical, citation and abstracting databases are the some of the tools. This chapter intends to describe the conceptual base of bibliographical databases, their genesis and impact in library science perspective and their importance in measuring information. The chapter also presents the science of measuring information using various quantitative and qualitative approaches like bibliometrics and scientometrics.

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Kollöffel, Joost. "Business Model Developments." In Advances in Data Mining and Database Management, 32–52. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5589-7.ch002.

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Academic publishing is a 'need to have' process that is very important in the academic world. This chapter focuses on the business models that were/are/might be used to finance the processes and the innovation in scholarly communication. What sparked the serials crisis? Is Open Access publishing feasible? Why are there predatory publishers? Can scientometrics and altmetrics be made into saleable products? These types of questions are answered in this chapter, where the focus lies on the financial feasibility of the main processes that occur in academic publishing.

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Candereli, Zehra Ozge, Serhat Burmaoglu, Levent B. Kidak, and Dilek Ozdemir Gungor. "Applying Blockchain Technologies in Healthcare." In Multidimensional Perspectives and Global Analysis of Universal Health Coverage, 69–92. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2329-2.ch003.

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Recently, one of the inventive developments penetrating many industries is blockchain technology. In the era of globalization and digitalization, blockchain has garnered interest in various application fields from health data management to clinical trials. In this study, we aimed to explore blockchain applications in healthcare with an explorative perspective with a scientometrics analysis. With this analysis, the trends and evolutionary relations between health and blockchain technology were examined via the queries in the Web of Science database. In the analysis, the author keyword co-occurrences were used for demonstrating concept relationships. To understand the new emerging study field, VosViewer was used for network visualizations and CiteSpace free java-based software was used for scientometrics analysis. As a result, it can be implied that the main focus areas of the studies on blockchain are solving payment systems, digital identity, and privacy and security issues in healthcare field.

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Liu, Pei, and Eric Boutin. "From Chinese Philosophy to Knowledge Discovery in Databases A Case Study." In Handbook of Research on Innovations in Database Technologies and Applications, 632–42. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-242-8.ch068.

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The field of scientometrics has been looking at the identification of co-authorship through network mapping. Research on this topic focuses on the cooperation of two authors who have published papers together. However, this paper is exploring the latent association of two authors. By ‘latent association’, we mean that the collaboration between two researchers has not yet occurred but might very likely take place in the future. In this paper, we will aim to find out a couple of authors who have never published together and who bear similar academic interests or study similar subjects. We will also show how the concepts of Yuan (Interdependent arising), Kong (Emptiness), Shi (Energy) and Guanxi (Relationship) in Chinese philosophy contribute to understand ‘latent associations’. These four Chinese concepts are the theoretical basis of this paper. By explaining one by one what each concept is about we hope to tackle the two following questions: What do those four concepts exactly tell us? And how are they linked together? Finally, we will look at the empirical case study in scientometrics. We hope to show that this application of Chinese concepts can unravel latent associations between researchers in Database.

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Didenko, Yu V., and M. V. Yazvinskaya. "Prospects of entry of academic scientific publications to scientometric databases." In Science of Ukraine in the Global Information Space, 61–67. PH "Akademperiodyka", 2017. http://dx.doi.org/10.15407/akademperiodyka.337.061.

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Conference papers on the topic "Scientometric database"

S. Mikhaylov, Andrey, and Tatyana Yu. Kuznetsova. "Scientometric mapping: on creating a database for innovation dynamics of urban settlements." In International Days of Statistics and Economics 2019. Libuše Macáková, MELANDRIUM, 2019. http://dx.doi.org/10.18267/pr.2019.los.186.109.

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Mazov, Nikolay A., and Vadim N. Gureyev. "Scientometric modelling experience for the detection of research fronts in geophysics." In Недропользование. Горное дело. Направления и технологии поиска, разведки и разработки месторождений полезных ископаемых. Экономика. Геоэкология. Федеральное государственное бюджетное учреждение науки Институт нефтегазовой геологии и геофизики им. А.А. Трофимука Сибирского отделения Российской академии наук, 2020. http://dx.doi.org/10.18303/b978-5-4262-0102-6-2020-092.

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This report presents a bibliometric approach to identifying research fronts in scientific organizations, based on a multiplex analysis of the flow of publications of authors from the analyzed organization. A model for more accurate subject clustering of publications of a scientific organization based on the GRNTI classification is proposed and tested using the example of geophysics research area. Based on metadata from the publication clusters allocated by GRNTI, algorithms for compiling query profiles in a scientometric database for further detection of research fronts are presented.

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Asli, Babak, Masoumeh Eghbali, Narges Ghammai, Behrooz Rasuli, Fatemeh Nikoukar, Leila Pireh, and Marzieh Esterabi َAshtiani. "ANALYZING IRANIAN GEOSCIENCE ACADEMIC OUTPUTS THROUGH SCIENTOMETRIC AND GIS METHODS: PROPOSING THE DEVELOPMENT OF INTERNATIONAL GEOSCIENCE EDUCATION ORGANIZATION’S (IGEO) DATABASE." In GSA 2020 Connects Online. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020am-355657.

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Гуменюк, Тетяна. "ПУБЛІКАЦІЙНА АКТИВНІСТЬ НАУКОВО- ПЕДАГОГІЧНИХ ПРАЦІВНИКІВ В МІЖНАРОДНИХ НАУКОМЕТРИЧНИХ БАЗАХ ДАНИХ." In Proceedings of the XXV International Scientific and Practical Conference. RS Global Sp. z O.O., 2021. http://dx.doi.org/10.31435/rsglobal_conf/25012021/7361.

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In Ukraine, the scientific sphere of activity is being reformed due to new requirements for its development, in particular, national scientific journals are being prepared for inclusion in the international databases Scopus and Web of Science. Modern higher education institutions are the subject of scientometric assessments in various national and world rankings, which reflect, in particular, the level of their research activities. Now it is one of the most authoritative indicators of academic work. Today, higher education institutions of Ukraine in national and world rankings are evaluated not only by indicators of their academic and international activities, the quality of professional training of students, the results of inventive activity, but also by the level of publishing activity of researchers in journals indexed in international scientometric databases, by the number of citations of their works by other scientists.

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Vasilev, Gordey Vladimirovich, and Victor Dmitrievich Berdonosov. "EFFECTIVE METHODOLOGY OF SEARCHING FOR SOURCES IN SCIENTOMETRIC DATABASES." In Актуальные проблемы информационно-телекоммуникационных технологий и математического моделирования в современной науке и промышленности. Комсомольск-на-Амуре: Комсомольский-на-Амуре государственный университет, 2021. http://dx.doi.org/10.17084/978-5-7765-1488-3-2021-194.

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Костюк, Д. М., Н. К. Широков, and И. В. Селиванова. "LINKING OF AUTHOR PROFILES IN BIBLIOGRAPHIC DATABASES ON THE EXAMPLE OF РИНЦ AND ЕГИСУ." In XVII Российская конференция “Распределенные информационно-вычислительные ресурсы: Цифровые двойники и большие данные”. Crossref, 2019. http://dx.doi.org/10.25743/ict.2019.17.86.017.

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For scientometric analysis, several systems are usually used with a different format for presenting information, which may not have common identifiers. This, in turn, makes it difficult to conduct a joint analysis. The article presents an algorithm for linking data on dissertations from the EGISU R AND D system of Russian researchers with their author profiles in the RSCI. As a result of the comparison, for 63,38 of dissertations, the authors profile was found in the RSCI system.

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Shachnev, Dmitry Alexeevich, Sergey Alexandrovich Afonin, and Alexander Sergeevich Kozitsyn. "Using the ontological representation of the relational database structure for scientometrical data aggregation." In 18th Scientific Conference “Scientific Services & Internet – 2016”. Keldysh Institute of Applied Mathematics, 2016. http://dx.doi.org/10.20948/abrau-2016-1.

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Grishakina, Ekaterina G. "Application of Scientometric Databases to the Assessment of the Quality of Project 5-100 Publications." In World-Class Scientific Publication – 2017: Best Practices in Preparation and Promotion of Publications. ASEP; NP “NEICON”; Ural University Press, 2017. http://dx.doi.org/10.24069/2017.978-5-7996-2227-5.05.

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Mazov, Nikolay, and Vadim Gureyev. "Journals’ hidden self-citation as the problem of publication ethics." In The Book. Culture. Education. Innovations. Russian National Public Library for Science and Technology, 2020. http://dx.doi.org/10.33186/978-5-85638-223-4-2020-140-149.

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Twenty two science Russian periodicals in informatics and library studies are selected for the bibliometrical analysis of key journal indicators, including publication activity of the same journals’ editorial staff. For the first time for domestic journals, the study reveals hidden self-citation when editorial members include links to their journal from other publications. The available instruments of scientometrical databases, including Web of Science and Scopus, and the national system Russian Science Citation Index do not enable to identify this form of self-citation. The mentioned manipulations are aimed at boosting journal rating. In several cases, intensive and unjustified citation by journals’ editorial staff in other periodicals which we consider the violation of publication ethical principles, is revealed.

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Khoperskov, Alexander, and Elizaveta Filippova. "Public Policy and Scientometrics of Dissertations in Computer Science: Russian Authors' Indexing in the Web of Science/Scopus Databases." In Proceedings of the 1st International Scientific Practical Conference "The Individual and Society in the Modern Geopolitical Environment" (ISMGE 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ismge-19.2019.66.

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Reports on the topic "Scientometric database"

Semerikov, Serhiy O., Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko, and Arnold E. Kiv. Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2651.

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It is shown that the calculation of scientometric indicators of the scientist and also the scientific journal continues to be an actual problem nowadays. It is revealed that the leading scientometric databases have the capabilities of automated metadata collection from the scientific journal website by the use of specialized electronic document management systems, in particular Open Journal Systems. It is established that Open Journal Systems successfully exports metadata about an article from scientific journals to scientometric databases Scopus, Web of Science and Google Scholar. However, there is no standard method of export from Open Journal Systems to such scientometric databases as the Russian Science Citation Index and Index Copernicus, which determined the need for research. The aim of the study is to develop the plug-in to the Open Journal Systems for the export of data from this system to scientometric database Russian Science Citation Index. As a result of the study, an infological model for exporting metadata from Open Journal Systems to the Russian Science Citation Index was proposed. The SirenExpo plug-in was developed to export data from Open Journal Systems to the Russian Science Citation Index by the use of the Articulus release preparation system.

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Shapovalov, Yevhenii B., Viktor B. Shapovalov, Roman A. Tarasenko, Stanislav A. Usenko, and Adrian Paschke. A semantic structuring of educational research using ontologies. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4433.

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This article is devoted to the presentation of the semantic interoperability of research and scientific results through an ontological taxonomy. To achieve this, the principles of systematization and structuration of the scientific/research results in scientometrics databases have been analysed. We use the existing cognitive IT platform Polyhedron and extend it with an ontology-based information model as main contribution. As a proof-of-concept we have modelled two ontological graphs, “Development of a rational way for utilization of methane tank waste at LLC Vasylkivska poultry farm” and “Development a method for utilization of methane tank effluent”. Also, for a demonstration of the perspective of ontological systems for a systematization of research and scientific results, the “Hypothesis test system” ontological graph has created.

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